Spring’06: T-Th 12:30-01:45, 367 Votey
Instructor: Maggie Eppstein, 327 Votey, x6-1918,
Maggie.Eppstein@uvm.edu
NEW
COURSE!
Brief Description:
In this course we will explore ways in which computers can be
used to model and understand complex non-linear systems in
science and engineering.
Topics will include an intro to:
 Efficient computation
 Scientific Visualization
 Error analysis and stability
 Computational methods
 Mean field vs. spatially explicit and
agent-based models
 Cellular Automata
 Small world and scale-free networks
 Self-organized criticality
"Computing has become the
third pillar of science, along
with theory and experiment"
-Daniel A. Reed, Director, Renaissance
Computing Institute
Intended audience:
Advanced undergraduates and graduate students in CS, Engineering, Science, etc.
Prerequisities:
CS 16 or 26 or equivalent, math 124 or 271 or equivalent (contact Maggie if you’re not
sure if you’re prepared). Computer programming will be required throughout.
Texts:
Introduction to Scientific Computing:
A Matrix-Vector Approach Using MATLAB 2nd Ed., Charles F. Van Loan
The Computational Beauty of Nature: G.W. Flake